Giant brains; or, Machines that thinkBerkeley, Edmund Callis
Science
Giant brains; or, Machines that think
Berkeley, Edmund Callis
Computers -- Popular works
This machine is perhaps not so farfetched as it might seem. During
World War II, gun-aiming equipment using the new technique _radar_
reached a high stage of development. Many shots that disabled and sank
enemy ships were fired in total darkness by radar-controlled guns.
On the glowing screen in the control room, there were two spots, one
that marked the target and one that reported the point at which the
gun was aimed. These two spots could be brought almost automatically
into agreement. In the same way, a report from a phototube telling
the shape of an observed mark and a report from the memory of the
machine telling the shape of a similar mark could be compared by the
machine for likeness and, if judged enough alike, could be approved as
identical.
Even the phrase “enough alike” can be applied by a machine. During
World War II, tremendous advances were made in machinery for
deciphering enemy messages. Machines observed various features and
patterns in enemy messages, swiftly counted the frequency of these
features, and carried out statistical tests. Then the machines selected
those few cases in which the patterns showed meaning instead of
randomness.
A machine like the automatic typist, if made flexible enough, would
be, of course, extremely useful. A great load of dull office work is
now being thrown on clerks whose task is to translate from writing and
typing into languages that machines can read, such as punch cards.
At the present time, if punch-card machines are widely used in a big
company, the company must employ large numbers of girls whose sole
duty is to read papers and punch up cards. A still bigger chore is the
work of typists in all kinds of businesses whose main duty is to read
handwriting, etc., and then copy the words on a typewriter.
[Illustration: Each square in the grill is watched by a phototube.
FIG. 1. Scheme for distinguishing _A_ and _H_ by 15
phototubes.]
Research has already begun on various features of the automatic typist
because of its obvious labor-saving value. For example, many patents
have been issued on schemes for dividing the area occupied by a letter
or a digit into an array of spots, with a battery of phototubes
each watching a spot. The reports from the phototubes together will
distinguish the letter or digit. For example, if we consider _A_ and
_H_ placed in a grill of fifteen spots, 5 long by 3 wide (see Fig.
1), then the phototubes can distinguish between _A_ and _H_ by sensing
black or white in the spot in the middle of the top row. When we
consider how easily and swiftly a human being does this, we can once
more marvel at the recognizing machine we all carry around with us in
our heads.
Automatic Stenographer
Another development that we can foresee is one that we can call the
_automatic stenographer_. This is a machine that will listen to sounds
and write them down in properly spelled English words. The elements of
this machine can be outlined:
Public-domain text, read in full here on John Shaqi.
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